ArticleAnnals of medicine2026
Identification of risk factors and development of a predictive model for foetal growth restriction: a retrospective case-control study.
Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo identify risk factors associated with foetal growth restriction (FGR) and develop a predictive model to support early diagnosis and individualized clinical management strategies.
methodsA retrospective case-control study was conducted at Wusibei Campus of Fujian Maternity and Child Health Hospital, Fuzhou, China involving 490 pregnant women (196 FGR cases and 294 controls) who delivered between January and December 2024. Participants were categorized into two groups: a control group with normal foetal growth and an FGR group with confirmed FGR (This retrospective case-control study selected participants according to pregnancy outcomes and analysed clinical data retrospectively). Clinical characteristics and maternal-neonatal outcomes were compared. Univariate and multivariate logistic regression analyses were performed using SPSS 26.0 to determine independent risk factors for FGR. A predictive nomogram was constructed using R software (version 4.1.0) with the rms package. Model performance was evaluated
resultsThe FGR group demonstrated significantly higher incidences of foetal distress, caesarean delivery, preterm birth, and neonatal hospitalization compared to the control group (all
conclusionThe predictive model developed in this study may facilitate the early identification of high-risk pregnancies, enabling timely intervention to improve maternal and neonatal outcomes. However, external validation of this model is needed before clinical implementation.
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